EP3418972A1 - Method for tone adapting an image to a target peak luminance lt of a target display device - Google Patents
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- EP3418972A1 EP3418972A1 EP17305778.7A EP17305778A EP3418972A1 EP 3418972 A1 EP3418972 A1 EP 3418972A1 EP 17305778 A EP17305778 A EP 17305778A EP 3418972 A1 EP3418972 A1 EP 3418972A1
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- 238000013507 mapping Methods 0.000 description 3
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- G—PHYSICS
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20172—Image enhancement details
- G06T2207/20208—High dynamic range [HDR] image processing
Definitions
- the invention relates to the dynamic range transformation of images, and in particular but not exclusively, to image processing to generate High Dynamic Range images from at least Low Dynamic Range images.
- this problem is the tone adaptation of an image to a target peak luminance L T different from the high peak luminance level L HDR for which the HDR image has been or can be generated.
- An object of the invention is to solve the above problem notably in the context of exponential inverse Tone Mapping.
- a subject of the invention is an image processing method for tone adapting an image to a target peak luminance L T of a target display device from a low dynamic range version of this image adapted to be displayed on a display device having a low peak luminance L LDR , and from a map of high dynamic range expansion exponents E HDR (p) to be applied to low dynamic range luminance values Y LDR or to low pass filtered luminance values of said low dynamic range version of said image to get expanded luminance values Y HDR of a high dynamic range version of said image adapted to be displayed on a display device having a high peak luminance L HDR , said method comprising:
- the weight of the low dynamic range expansion exponent E LDR (p) is equal to 1- ⁇ in .
- a subject of the invention is also an image processing device for tone adapting an image to a target peak luminance L T of a target display device from a low dynamic range version of this image adapted to be displayed on a display device having a low peak luminance L LDR , and from a map E HDR (p) of high dynamic range expansion exponents to be apply to low dynamic range luminance values Y LDR or to low pass filtered luminance values of said low dynamic range version of said image to get expanded luminance values Y HDR of a high dynamic range version of said image adapted to be displayed on a display device having a high peak luminance L HDR , said device comprising at least one processor configured for implementing the above method.
- a subject of the invention is also an electronic device incorporating this image processing device, as, for instance, a camera, a TV set, a monitor, a head mounted display, a set top box, a gateway, a smartphone and a tablet.
- a subject of the invention is also a non-transitory storage medium carrying instructions of program code for executing steps of the above method, when said program is executed on a computing device.
- a subject of the invention is also an image processing method for tone adapting an image to a target peak luminance L T of a target display device from a low dynamic range version of this image adapted to be displayed on a display device having a low peak luminance L LDR , and from a high dynamic range version of this image adapted to be displayed on a display device having a high peak luminance L HDR , said method comprising :
- a subject of the invention is also an image processing device configured to implement this method and an electronic device incorporating this image processing device
- processors may be implemented in various forms of hardware, software, firmware, special purpose processors, or combinations thereof.
- the term "processor” should not be construed to refer exclusively to hardware capable of executing software, and may implicitly include, without limitation, digital signal processor ("DSP") hardware, read-only memory (“ROM”) for storing software, random access memory (“RAM”), and non-volatile storage.
- DSP digital signal processor
- ROM read-only memory
- RAM random access memory
- non-volatile storage non-volatile storage.
- the invention may be notably implemented as a combination of hardware and software.
- the software may be implemented as an application program tangibly embodied on a program storage unit. Such a software can take the form of a plug-in to be integrated to another software.
- the application program may be uploaded to, and executed by, an image processing device comprising any suitable architecture.
- the image processing device is implemented on a computer platform having hardware such as one or more central processing units (“CPU") or processors, a random-access memory (“RAM”), and input/output (“I/O") interfaces.
- the computer platform may also include an operating system and microinstruction code.
- the various processes and functions described herein may be either part of the microinstruction code or part of the application program, or any combination thereof, which may be executed by a CPU.
- the computer platform is connected to a target display device having its target peak luminance L T .
- various other peripheral units may be connected to the computer platform such as an image reception device configured to receive images, an additional data storage unit configured to store image data, a remote-control unit, ...
- This image processing device may be part of an electronic device able to receive and/or store images, for instance a camera, a TV set, a set-top-box, a monitor, a gateway, a smartphone, a tablet, a head-mounted display.
- the image processing device receives and/or stores the following data:
- luminance values of the LDR version are linearly scaled within a high dynamic range [0, L HDR ] to get scaled LDR luminance values Y SC-LDR ( p ).
- the goal of this scaling step is to scale luminance values of the LDR version over the range of the luminance values of the HDR version.
- the ratio L HDR N LDR is the scaling ratio.
- the straight dotted line of figure 1 illustrates the variation of Y sc,LDR ( p ) in function of Y LDR (p) .
- a map of low dynamic range expansion exponents E LDR (p) is computed such that, when applied to low dynamic range luminance values Y LDR (or low pass filtered luminance values) of the low dynamic range version of the image, low dynamic range luminance values Y LDR are scaled by a factor L HDR N LDR .
- a target expansion exponent E T (p) is computed as a weighted sum of the HDR expansion exponent E HDR (p) and of the LDR expansion exponent E LDR (p) :
- E T p ⁇ in E HDR p + 1 ⁇ ⁇ in E LDR p with a weight 0 ⁇ ⁇ in ⁇ 1 of the HDR expansion exponent E HDR (p) which is proportional to the difference between the target peak luminance L T of the target display device and the low peak luminance L LDR , this difference being scaled by the difference between the high peak luminance L HDR and the low peak luminance L LDR .
- luminance values of the LDR image are expanded into target luminance values Y T for generating colors of a corresponding target range image, by scaling exponentially these low dynamic range luminance values Y LDR (or low pass filtered luminance values Y LDR-LPF ) using an exponent function with an exponent based on the target expansion exponent map E T (p) .
- the target expanded luminance Y T ( p ) is based on a simple linear combination of a HDR expansion gain and of a LDR expansion gain, which is multiplied by a constant factor K (1 - ⁇ in ) .
- a tone-adapted version of the image is built in a manner known per se, based on the target luminance values Y T .
- the expanded luminance value Y T of each pixel is combined with its chromatic channels for instance as described in WO2015/096955 .
- a target range image is then obtained that can be sent from the image processing device to the target display to be displayed.
- the tone-adapted target version of the image that is obtained is specifically tone adapted to the peak luminance value L T of the target display.
- This first embodiment is preferred because expansion can be encoded using a look-up table taking luminance values of the LDR image as input (for instance, coded over 8 bits in the interval [0-255] or over 10 bits in the interval [0-1023]) and giving expanded luminance. Since this is a relatively small amount of data, the interpolation is much more efficient than interpolating every pixel of the image, irrespective of what is in the images to be interpolated. Additionally, compared to the second variant of the second embodiment below, this embodiment avoids double application of the iTM.
- the image processing device receives and/or stores the following data:
- a first step in order to compare the LDR version to the HDR version of the same image, luminance values of the LDR version are linearly scaled within a low dynamic range [0, L LDR ] to get scaled LDR luminance values Y' SC-LDR ( p ).
- the target luminance value Y' T ( p ) is combined with its chromatic channels for instance as described in WO2015/096955 .
- a target version of the image is then obtained that can be sent from the image processing device to the target display to be displayed.
- the target version of the image that is obtained is specifically tone adapted to the peak luminance value L T of the target display.
- the scaling ratio is L HDR N LDR as in the first embodiment.
- HDR luminance values Y HDR ( p ) may be computed as in the second step of the first embodiment, from a map of HDR expansion exponents E HDR (p) .
Abstract
This method comprises:
- computing a map of low dynamic range expansion exponents ELDR (p),
- computing a map of target expansion exponents ET (p) as a weighted sum of the high dynamic range expansion exponents EHDR (p) and of the low dynamic range expansion exponents ELDR (p),
- applying target expansion exponent ET (p) of the computed map to low dynamic range luminance values YLDR of a low dynamic range version of the image, resulting in target luminance values YT ,
- building a tone-adapted version of said image based on said target luminance values YT .
- computing a map of low dynamic range expansion exponents ELDR (p),
- computing a map of target expansion exponents ET (p) as a weighted sum of the high dynamic range expansion exponents EHDR (p) and of the low dynamic range expansion exponents ELDR (p),
- applying target expansion exponent ET (p) of the computed map to low dynamic range luminance values YLDR of a low dynamic range version of the image, resulting in target luminance values YT ,
- building a tone-adapted version of said image based on said target luminance values YT .
Description
- The invention relates to the dynamic range transformation of images, and in particular but not exclusively, to image processing to generate High Dynamic Range images from at least Low Dynamic Range images.
- It is known, notably from
WO2015/096955 , to convert luminance values YLDR of colors of a low dynamic range (LDR) version of an image into expanded luminance values YHDR for generating colors of a corresponding high dynamic range (HDR) version of this image, by scaling exponentially these low dynamic range luminance values YLDR (or low pass filtered luminance values YLDR-LPF ) using an exponent function with an exponent. For each pixel p of the LDR image, a value of the exponent EHDR(p) can be computed, for instance as disclosed inWO2015/096955 ,WO2017/032822 andWO2017/036908 . Values of this exponent EHDR(p) for each pixel of the image forms an expansion exponent map. -
- where
- where Ys (p) is a scaling function, for instance adapted as disclosed in
WO2015/096955 to enhance details that may have been smoothed by the luminance expansion, and/or for denoising the expanded version of the image. - A LDR version of an image is generally provided such that the range of luminance values of its colors are all inferior or equal to a low peak luminance level LLDR which correspond to the maximum luminance that a LDR display device can display. If such a LDR version is coded using BLDR bits, the low peak luminance level LSDR corresponds to the coded value 2 B LDR -1. If BLDR =10 and if LLDR = 100 nits, the coded value 1023 corresponds to 100 nits.
- As generated for instance as described above, a HDR version of an image is such that the range of luminance values of its colors are all inferior or equal to a higher peak luminance level LHDR which correspond to the maximum luminance that a given HDR display device can display. It means that a given HDR version of an image is specifically adapted to be displayed by display devices having a peak luminance level equal to LHDR. If such a HDR version is coded using BHDR bits, the high peak luminance level LHDR corresponds to the coded value 2 B HDR -1. If BHDR =12 and if LHDR = 1000 nits, the coded value 4095 corresponds to 1000 nits.
- A problem arises when an image has to be displayed by a target display device having a target peak luminance LT different from the low peak luminance level LLDR and different from the high peak luminance level LHDR, whenever LLDR < LT < LHDR, or LT > LHDR . Namely, this problem is the tone adaptation of an image to a target peak luminance LT different from the high peak luminance level LHDR for which the HDR image has been or can be generated.
- The document
WO2013/046095 discloses several solutions to solve this problem. - An object of the invention is to solve the above problem notably in the context of exponential inverse Tone Mapping.
- For this purpose, a subject of the invention is an image processing method for tone adapting an image to a target peak luminance LT of a target display device from a low dynamic range version of this image adapted to be displayed on a display device having a low peak luminance LLDR , and from a map of high dynamic range expansion exponents EHDR(p) to be applied to low dynamic range luminance values YLDR or to low pass filtered luminance values of said low dynamic range version of said image to get expanded luminance values YHDR of a high dynamic range version of said image adapted to be displayed on a display device having a high peak luminance LHDR , said method comprising:
- computing a map of low dynamic range expansion exponents ELDR(p) such that, when applied to low dynamic range luminance values YLDR or to low pass filtered luminance values of said low dynamic range version of said image, low dynamic range luminance values YLDR are linearly scaled within a high dynamic range [0, LHDR ],
- computing a map of target expansion exponents ET(p) as a weighted sum of the high dynamic range expansion exponents EHDR(p) and of the low dynamic range expansion exponents ELDR(p), with a weight 0 ≤ αin ≤ 1 of the high dynamic range expansion exponent EHDR(p) which is proportional to a difference between the target peak luminance LT of the target display device and the low peak luminance LLDR , this difference being scaled by another difference between the high peak luminance LHDR and the low peak luminance LLDR,
- applying target expansion exponent ET(p) of said computed map to low dynamic range luminance values YLDR or to low pass filtered luminance values of said low dynamic range version of said image, resulting in target luminance values YT ,
- building a tone-adapted version of said image based on said target luminance values YT .
- Preferably, the weight of the low dynamic range expansion exponent ELDR(p) is equal to 1- αin .
- A subject of the invention is also an image processing device for tone adapting an image to a target peak luminance LT of a target display device from a low dynamic range version of this image adapted to be displayed on a display device having a low peak luminance LLDR, and from a map EHDR(p) of high dynamic range expansion exponents to be apply to low dynamic range luminance values YLDR or to low pass filtered luminance values of said low dynamic range version of said image to get expanded luminance values YHDR of a high dynamic range version of said image adapted to be displayed on a display device having a high peak luminance LHDR, said device comprising at least one processor configured for implementing the above method.
- A subject of the invention is also an electronic device incorporating this image processing device, as, for instance, a camera, a TV set, a monitor, a head mounted display, a set top box, a gateway, a smartphone and a tablet.
- A subject of the invention is also a non-transitory storage medium carrying instructions of program code for executing steps of the above method, when said program is executed on a computing device.
- A subject of the invention is also an image processing method for tone adapting an image to a target peak luminance LT of a target display device from a low dynamic range version of this image adapted to be displayed on a display device having a low peak luminance LLDR, and from a high dynamic range version of this image adapted to be displayed on a display device having a high peak luminance LHDR, said method comprising :
- for each pixel p of said image, computing a target luminance Y'T(p) based on a weighted sum of a scaled low dynamic range luminance Y'SC-LDR (p) of this pixel and of the high dynamic range luminance YHDR (p) of the same pixel in the high dynamic range version of the image, with a weight 0 ≤ αin ≤ 1 of the high dynamic range expansion exponent EHDR(p) which is proportional to a difference between the target peak luminance LT of the target display device and the low peak luminance LLDR, this difference being scaled by another difference between the high peak luminance LHDR and the low peak luminance LLDR, wherein said scaled low dynamic range luminance Y'SC-LDR (p) is obtained by scaling linearly low dynamic range luminance value of the same pixel YLDR (p) within a low dynamic range [0, LLDR ]
- building a tone-adapted version of said image based on said target luminance values YT.
- A subject of the invention is also an image processing device configured to implement this method and an electronic device incorporating this image processing device
- The invention will be more clearly understood on reading the description which follows, given by way of non-limiting examples and with reference to the appended figure:
-
Figure 1 illustrates tone expansion of LDR luminance values YLDR(p) into target luminance values YT(p) of pixels p of the image, for difference values of the target peak luminance LT, according to the first embodiment of the tone adaptation of this image. - The functions of the various elements shown in the figures may be provided through the use of dedicated hardware as well as hardware capable of executing software in association with appropriate software.
- It is to be understood that the invention may be implemented in various forms of hardware, software, firmware, special purpose processors, or combinations thereof. The term "processor" should not be construed to refer exclusively to hardware capable of executing software, and may implicitly include, without limitation, digital signal processor ("DSP") hardware, read-only memory ("ROM") for storing software, random access memory ("RAM"), and non-volatile storage. The invention may be notably implemented as a combination of hardware and software. Moreover, the software may be implemented as an application program tangibly embodied on a program storage unit. Such a software can take the form of a plug-in to be integrated to another software. The application program may be uploaded to, and executed by, an image processing device comprising any suitable architecture.
- Preferably, the image processing device is implemented on a computer platform having hardware such as one or more central processing units ("CPU") or processors, a random-access memory ("RAM"), and input/output ("I/O") interfaces. The computer platform may also include an operating system and microinstruction code. The various processes and functions described herein may be either part of the microinstruction code or part of the application program, or any combination thereof, which may be executed by a CPU. The computer platform is connected to a target display device having its target peak luminance L T . In addition, various other peripheral units may be connected to the computer platform such as an image reception device configured to receive images, an additional data storage unit configured to store image data, a remote-control unit, ... This image processing device may be part of an electronic device able to receive and/or store images, for instance a camera, a TV set, a set-top-box, a monitor, a gateway, a smartphone, a tablet, a head-mounted display.
- All components of this image processing device for the tone adaptation of an image are configured in a manner known per se to implement the different steps of the first or second embodiments of the method described hereafter.
- In this first embodiment, it is assumed that the image processing device receives and/or stores the following data:
- a LDR version of an image adapted to be displayed by a LDR display device having a low peak luminance LLDR, providing a LDR luminance value YLDR (p) for each pixel of the image; such a LDR version is generally binary coded over BLDR bits (ex.: 8 bits, corresponding to 256 different values);
- a map of HDR expansion exponents EHDR(p) to be used to expand luminance values of the LDR version for generating a HDR version to be displayed by a HDR display device having a high peak luminance LHDR ; such a HDR version will be generally binary coded within a wider range [0, NHDR ] (ex.: 10 bits, corresponding to 1024 different values);
- the target peak luminance LT of the target display device connected to this image processing device (or to be connected to it).
- In order to compare the LDR version to the HDR version of the same image, in a first step of this embodiment, luminance values of the LDR version are linearly scaled within a high dynamic range [0, LHDR ] to get scaled LDR luminance values YSC-LDR (p). The goal of this scaling step is to scale luminance values of the LDR version over the range of the luminance values of the HDR version. We will scale for instance these LDR luminance values YSC-LDR (p) over an interval [0, NLDR ] (corresponding for instance to 256 different values) according to:
-
- NLDR may be related to the number of bits BLDR over which the luminance values of the LDR version are coded, and then NLDR = 2B LDR -1. NLDR may be independent from the number of bits BLDR.
- The straight dotted line of
figure 1 illustrates the variation of Ysc,LDR (p) in function of YLDR(p). -
-
-
-
- In summary, in this first step, a map of low dynamic range expansion exponents ELDR(p) is computed such that, when applied to low dynamic range luminance values YLDR (or low pass filtered luminance values) of the low dynamic range version of the image, low dynamic range luminance values YLDR are scaled by a factor
- In a second step, for each pixel p of the image, a target expansion exponent ET(p) is computed as a weighted sum of the HDR expansion exponent EHDR(p) and of the LDR expansion exponent ELDR(p) :
- An interpolated expansion exponent map ET(p) is then obtained.
- In a third step, luminance values of the LDR image are expanded into target luminance values YT for generating colors of a corresponding target range image, by scaling exponentially these low dynamic range luminance values YLDR (or low pass filtered luminance values YLDR-LPF ) using an exponent function with an exponent based on the target expansion exponent map ET(p). Such an inverse Tone Mapping (iTM) can then be summarized by the following equation:
- where
- where Ys (p) is a scaling function, for instance adapted as disclosed in
WO2015/096955 to enhance details that may have been smoothed by the luminance expansion, and/or for denoising the expanded image. -
- In this equation 8c, the target expanded luminance YT (p) is based on a simple linear combination of a HDR expansion gain and of a LDR expansion gain, which is multiplied by a constant factor K (1-αin ) .
-
Figure 1 illustrates the variation of the target luminance values YT(p) in function of the low dynamic range luminance values YLDR(p) = Y'LDR(p) for different values of the target peak luminance LT = 100, 250, 500, 750 and 1000 cd/m2, when LLDR = 100 cd/m2 and LHDR = 1000 cd/m2. - In a fourth step, a tone-adapted version of the image is built in a manner known per se, based on the target luminance values YT . For instance, the expanded luminance value YT of each pixel is combined with its chromatic channels for instance as described in
WO2015/096955 . A target range image is then obtained that can be sent from the image processing device to the target display to be displayed. Advantageously, the tone-adapted target version of the image that is obtained is specifically tone adapted to the peak luminance value LT of the target display. - This first embodiment is preferred because expansion can be encoded using a look-up table taking luminance values of the LDR image as input (for instance, coded over 8 bits in the interval [0-255] or over 10 bits in the interval [0-1023]) and giving expanded luminance. Since this is a relatively small amount of data, the interpolation is much more efficient than interpolating every pixel of the image, irrespective of what is in the images to be interpolated. Additionally, compared to the second variant of the second embodiment below, this embodiment avoids double application of the iTM.
- In this second embodiment, it is also assumed that the image processing device receives and/or stores the following data:
- as in the first embodiment above, a LDR version of an image adapted to be displayed by a LDR display device having a low peak luminance LLDR, providing a LDR luminance value YLDR (p) for each pixel of the image;
- a HDR version of the image adapted to be displayed with a HDR display device having a high peak luminance value LHDR , providing a HDR luminance value YHDR (p) for each pixel of the image;
- as in the first embodiment above, the target peak luminance LT of the target display device connected to this image processing device (or to be connected to it).
- In this second embodiment, for each pixel p of the image, we will process as follows.
- In a first step, in order to compare the LDR version to the HDR version of the same image, luminance values of the LDR version are linearly scaled within a low dynamic range [0, LLDR ] to get scaled LDR luminance values Y'SC-LDR (p). As in the first embodiment, independently or not from the number of bits BLDR over which the luminance values of the LDR version are coded, we will scale the LDR luminance values Y'SC-LDR (p) over an interval [0, NLDR ] (corresponding for instance to 256 different values) according to:
- In a second step, a target luminance value of this pixel Y'T(p) is computed as a weighted sum of the scaled LDR luminance value Y'SC,LDR computed in the first step and of the HDR luminance value YHDR of this pixel, such that:
- In a third step, the target luminance value Y'T (p) is combined with its chromatic channels for instance as described in
WO2015/096955 . - A target version of the image is then obtained that can be sent from the image processing device to the target display to be displayed. Advantageously, the target version of the image that is obtained is specifically tone adapted to the peak luminance value LT of the target display.
- This second embodiment is less efficient computationally than the first one in the case where look-up tables are used to implement luminance expansion, as it requires each pixel of the final image to be interpolated. However, in applications where absolute luminance is required at the output, it may be preferred. Given the above formulation if for example Lt = 500 cd/m2, the values in Yexp,t will range between 0 and 500.
- As a first variant of this second embodiment, in the first step, the scaling ratio is
- As a second variant of this second embodiment (that may be combined with the first variant), HDR luminance values YHDR (p) may be computed as in the second step of the first embodiment, from a map of HDR expansion exponents EHDR(p).
- It is to be understood that the invention may be implemented in various forms of hardware, software, firmware, special purpose processors, or combinations thereof.
- While some of the specific embodiments may be described and claimed separately, it is understood that the various features of embodiments described and claimed herein may be used in combination.
Claims (6)
- Image processing method for tone adapting an image to a target peak luminance LT of a target display device from a low dynamic range version of this image adapted to be displayed on a display device having a low peak luminance LLDR , and from a map of high dynamic range expansion exponents EHDR(p) to be applied to low dynamic range luminance values YLDR or to low pass filtered luminance values of said low dynamic range version of said image to get expanded luminance values YHDR of a high dynamic range version of said image adapted to be displayed on a display device having a high peak luminance LHDR, said method comprising:- computing a map of low dynamic range expansion exponents ELDR(p) such that, when applied to low dynamic range luminance values YLDR or to low pass filtered luminance values of said low dynamic range version of said image, low dynamic range luminance values YLDR are linearly scaled within a high dynamic range [0, LHDR ],- computing a map of target expansion exponents ET(p) as a weighted sum of the high dynamic range expansion exponents EHDR(p) and of the low dynamic range expansion exponents ELDR(p), with a weight 0 ≤ αin ≤ 1 of the high dynamic range expansion exponent EHDR(p) which is proportional to a difference between the target peak luminance LT of the target display device and the low peak luminance LLDR , this difference being scaled by another difference between the high peak luminance LHDR and the low peak luminance LLDR ,- applying target expansion exponent ET(p) of said computed map to low dynamic range luminance values YLDR or to low pass filtered luminance values of said low dynamic range version of said image, resulting in target luminance values YT ,- building a tone-adapted version of said image based on said target luminance values YT .
- Image processing method according to claim 1, wherein the weight of the low dynamic range expansion exponent ELDR(p) is equal to 1- αin .
- Image processing device for tone adapting an image to a target peak luminance LT of a target display device from a low dynamic range version of this image adapted to be displayed on a display device having a low peak luminance LLDR, and from a map EHDR(p) of high dynamic range expansion exponents to be apply to low dynamic range luminance values YLDR or to low pass filtered luminance values of said low dynamic range version of said image to get expanded luminance values YHDR of a high dynamic range version of said image adapted to be displayed on a display device having a high peak luminance LHDR , said device comprising at least one processor configured for:- computing a map of low dynamic range expansion exponents ELDR(p) such that, when applied to low dynamic range luminance values YLDR or to low pass filtered luminance values of said low dynamic range version of said image, low dynamic range luminance values YLDR are linearly scaled within a high dynamic range [0, LHDR ],- computing a map of target expansion exponents ET(p) as a weighted sum of the high dynamic range expansion exponents EHDR(p) and of the low dynamic range expansion exponents ELDR(p), with a weight 0 ≤ αin ≤ 1 of the high dynamic range expansion exponent EHDR(p) which is proportional to a difference between the target peak luminance LT of the target display device and the low peak luminance LLDR , this difference being scaled by another difference between the high peak luminance LHDR and the low peak luminance LLDR,- applying target expansion exponent ET(p) of said computed map to low dynamic range luminance values YLDR or to low pass filtered luminance values of said low dynamic range version of said image, resulting in target luminance values YT,- building a tone-adapted version of said image based on said target luminance values YT .
- Electronic device incorporating the image processing device according to claim 3.
- Electronic device according to claim 4 selected in the group consisting of a camera, a TV set, a monitor, a head mounted display, a set top box, a gateway, a smartphone and a tablet.
- Non-transitory storage medium carrying instructions of program code for executing steps of the method according to one of claims 1 to 2, when said program is executed on a computing device.
Priority Applications (6)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP17305778.7A EP3418972A1 (en) | 2017-06-23 | 2017-06-23 | Method for tone adapting an image to a target peak luminance lt of a target display device |
EP18176578.5A EP3418973B1 (en) | 2017-06-23 | 2018-06-07 | Method and device for tone adapting an image to a target peak luminance lt of a target display device |
JP2018114485A JP7141862B2 (en) | 2017-06-23 | 2018-06-15 | Method for tone-adapting an image to the target peak luminance of a target display device |
KR1020180070797A KR102475139B1 (en) | 2017-06-23 | 2018-06-20 | Method for tone adapting an image to a target peak luminance lt of a target display device |
CN201810640815.4A CN109118436B (en) | 2017-06-23 | 2018-06-20 | Image tone adaptation method, corresponding electronic device and storage medium |
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CN110223256A (en) * | 2019-06-10 | 2019-09-10 | 北京大学深圳研究生院 | A kind of inverse tone mapping (ITM) method, apparatus and electronic equipment |
EP3764346A1 (en) * | 2019-07-09 | 2021-01-13 | Koninklijke Philips N.V. | Adjustment of display optimization behaviour for hdr images |
KR102564447B1 (en) * | 2021-11-30 | 2023-08-08 | 엘지전자 주식회사 | Display device |
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WO2013046095A1 (en) | 2011-09-27 | 2013-04-04 | Koninklijke Philips Electronics N.V. | Apparatus and method for dynamic range transforming of images |
WO2015096955A1 (en) | 2013-12-27 | 2015-07-02 | Thomson Licensing | Method for inverse tone mapping of an image |
EP3136737A1 (en) * | 2015-08-25 | 2017-03-01 | Thomson Licensing | Method for inverse tone mapping of a sequence of images |
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US8289412B2 (en) | 2006-11-27 | 2012-10-16 | Dolby Laboratories Licensing Corporation | Apparatus and methods for boosting dynamic range in digital images |
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WO2013057999A1 (en) * | 2011-10-20 | 2013-04-25 | 日立アロカメディカル株式会社 | Ultrasound imaging equipment and method |
EP3072288B1 (en) | 2013-11-22 | 2019-06-12 | Dolby Laboratories Licensing Corporation | Methods and systems for inverse tone mapping |
EP2958075A1 (en) * | 2014-06-20 | 2015-12-23 | Thomson Licensing | Method and apparatus for dynamic range expansion of LDR video sequence |
CN104408752B (en) * | 2014-12-11 | 2017-07-04 | 西安电子科技大学 | A kind of high dynamic range images compression method based on mixed shades mapping algorithm |
EP3231174B1 (en) | 2014-12-11 | 2020-08-26 | Koninklijke Philips N.V. | Optimizing high dynamic range images for particular displays |
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WO2017190786A1 (en) * | 2016-05-04 | 2017-11-09 | 1/1Thomson Licensing | Optimized content-adaptive inverse tone mapping for low to high dynamic range conversion |
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WO2013046095A1 (en) | 2011-09-27 | 2013-04-04 | Koninklijke Philips Electronics N.V. | Apparatus and method for dynamic range transforming of images |
WO2015096955A1 (en) | 2013-12-27 | 2015-07-02 | Thomson Licensing | Method for inverse tone mapping of an image |
EP3136737A1 (en) * | 2015-08-25 | 2017-03-01 | Thomson Licensing | Method for inverse tone mapping of a sequence of images |
WO2017032822A1 (en) | 2015-08-25 | 2017-03-02 | Thomson Licensing | Inverse tone mapping based on luminance zones |
WO2017036908A1 (en) | 2015-08-31 | 2017-03-09 | Thomson Licensing | Method and apparatus for inverse tone mapping |
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